AI Article Synopsis
- * Researchers processed one-per-second oxygen and saturation data into one-per-minute intervals to analyze various statistical outcomes.
- * Results indicated that one-per-minute data produced outcomes nearly identical to one-per-second data, suggesting that this lower frequency data can be reliably used for retrospective studies and analyses.
Article Abstract
Background: Large amounts of data are collected in neonatal intensive care units, which could be used for research. It is unclear whether these data, usually sampled at a lower frequency, are sufficient for retrospective studies. We investigated what to expect when using one-per-minute data for descriptive statistics.
Methods: One-per-second inspiratory oxygen and saturation were processed to one-per-minute data and compared, on average, standard deviation, target range time, hypoxia, days of supplemental oxygen, and missing signal.
Results: Outcomes calculated from data recordings (one-per-minute = 92, one-per-second = 92) showed very little to no difference. Sub analyses of recordings under 100 and 200 h showed no difference.
Conclusion: In our study, descriptive statistics of one-per-minute data were comparable to one-per-second and could be used for retrospective analyses. Comparable routinely collected one-per-minute data could be used to develop algorithms or find associations, retrospectively.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133439 | PMC |
| http://dx.doi.org/10.3389/fped.2022.845378 | DOI Listing |
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